خلاصه
مقدمه
استانداردهای ارتباطات بی سیم آینده
ادغام MIMO عظیم
5G پیشرفته ترین
هوش مصنوعی برای 5G
روش شناسی و نتایج
نتایج شبیه سازی
تجزیه و تحلیل شکاف های تحقیقاتی
نتیجه گیری و کار آینده
اعلامیه ها
منابع
Abstract
Introduction
Standards of future wireless communications
Integration of massive MIMO
5G state‑of‑arts
Artifcial intelligence for 5G
Methodology and results
Simulation results
Research gaps analysis
Conclusion and future work
Declarations
References
چکیده
ظهور انقلاب صنعت 4.0 برای ارتقای استانداردهای اینترنت اشیا (IoT) نتایج برجسته ای را برای سیستم های ارتباطی بی سیم آینده به نام 5G فراهم می کند. توسعه سیستمهای ارتباط سبز 5G از چالشهای مختلفی برای برآوردن نیاز ظرفیت کاربر بالاتر، سرعت شبکه، حداقل هزینه و کاهش مصرف منابع رنج میبرد. استفاده از استانداردهای 5G برای برنامههای Industry 4.0 عملکرد نرخ داده و قابلیت اطمینان دستگاه متصل را افزایش میدهد. از زمان ورود بیماری جدید Covid-19، تقاضای بیشتری برای سیستمهای مراقبت بهداشتی هوشمند در سراسر جهان وجود دارد. با این حال، طراحی سیستمهای ارتباطی 5G دارای چالشهای تحقیقاتی مانند استفاده بهینه از منابع، مدیریت تحرک، کارایی هزینه، مدیریت تداخل، کارایی طیفی و غیره است. تکنیک. بنابراین، معرفی هوش مصنوعی به استانداردهای 5G، عملکردها را با توجه به کاربردهای مختلف کاربر نهایی، بیشتر بهینه میکند. ما ابتدا بررسی شرایطی مانند استاندارد 5G، صنعت 4.0 و برخی کارهای اخیر برای ارتباطات بی سیم آینده را ارائه می کنیم. هدف بررسی مشکلات تحقیقاتی فعلی با استفاده از فناوری 5G است. ما همچنین معماری جدیدی را برای سیستمهای مراقبت بهداشتی هوشمند با استفاده از استانداردهای 5G و Industry 4.0 پیشنهاد میکنیم. ما آن مدل پیشنهادی را با استفاده از شبیهساز شبکه (NS2) برای بررسی روشهای فعلی 5G طراحی و اجرا میکنیم. نتایج شبیهسازی نشان میدهد که روشهای فعلی 5G برای مدیریت منابع و مدیریت تداخل از چالشهایی مانند مبادله عملکرد رنج میبرند.
توجه! این متن ترجمه ماشینی بوده و توسط مترجمین ای ترجمه، ترجمه نشده است.
Abstract
The emergence of the Industry 4.0 revolution to upgrade the Internet of Things (IoT) standards provides the prominence outcomes for the future wireless communication systems called 5G. The development of 5G green communication systems suffers from the various challenges to fulfill the requirement of higher user capacity, network speed, minimum cost, and reduced resource consumption. The use of 5G standards for Industry 4.0 applications will increase data rate performance and connected device's reliability. Since the arrival of novel Covid-19 disease, there is a higher demand for smart healthcare systems worldwide. However, designing the 5G communication systems has the research challenges like optimum resource utilization, mobility management, cost-efficiency, interference management, spectral efficiency, etc. The rapid development of Artificial Intelligence (AI) across the different formats brings performance enhancement compared to conventional techniques. Therefore, introducing the AI into 5G standards will optimize the performances further considering the various end-user applications. We first present the survey of the terms like 5G standard, Industry 4.0, and some recent works for future wireless communications. The purpose is to explore the current research problems using the 5G technology. We further propose the novel architecture for smart healthcare systems using the 5G and Industry 4.0 standards. We design and implement that proposed model using the Network Simulator (NS2) to investigate the current 5G methods. The simulation results show that current 5G methods for resource management and interference management suffer from the challenges like performance trade-offs.
Introduction
The further progress of the Internet of Things (IoT) reveals it is a fundamental piece of different applications, for instance, keen home, smart healthcare, savvy agriculture, brilliant city, and so forth. The remarkable improvement of IoT devices encounters accepting various benchmarks and progressions. Another significant issue in IoT gadgets is interoperability among particular gadgets and organizations. The specific devices should be versatile in accepting the situation in passing on information with less human commitment (Xu et al. 2004). The human free and human-driven are two kinds of unavoidable perspectives on account of human affiliation. The energy effectiveness and resource management in IoT acquired huge examination interests. The key necessity of IoT empowered WSNs is that they ought to work steadily and economically for a more drawn-out period with no requirement for human mediation (He et al. 2004). Devices in such IoT systems will ordinarily work dependent on battery power sources, and subsequently, energy proficiency has normally of most extreme significance in a gadget the executives (Nadeem et al. 2015; Arifin and Ohtsuki 2014). Thinking about the WSN area, energy productivity for battery worked sensor hubs and lifetime upgrades have been researched issues for a long time (Riggio and Sicari 2009; Sohrabi et al. 2000). Medium Access Control (MAC) layer conventions center around changing the obligation cycle for sensor hubs and steering layer conventions have intended for information accumulation and many-to-one transmission. Likewise, since IoT gadgets working in the IoT arrange worldview are additionally battery worked, battery utilization ought to be remembered during IoT organize organization. The acknowledgment of cost decreases to accomplish green systems administration is the exploration goal of this research. Numerous energy productive plans for WSN have been proposed in the ongoing past, for example, a chain of command (Sohrabi et al. 2000) and careful (Mikhail et al. 2017a, b) ones, anyway there are numerous gaps identified with effective information total and spread strategies.
Conclusion and future work
Progressions in the 5G standard and its integration with emerging Industry 4.0 and AI innovations were studied in this paper. The fast-expanding savvy devices and IoT modules in volume produce a huge measure of information traffic, putting extra weight on existing portable remote sensor networks. This paper presents an itemized review on the combination of 5G, Massive MIMO, and AI for improving IoT performance. The wide range of recent studies reviewed throughout this paper and based on it the research gaps for future roadmap discussed. We further have designed the novel model for smart healthcare monitoring using the methods of 5G and IoT together. The model was implemented and evaluated using the recent 5G methods for resource and interference management. The simulation results reveal the research gaps for further development.